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Precursor to the Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM). It contains information about the employee and their history of their personnel actions. This is the dynamics data

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Interactive online tool for creating and manipulating tables based on birth and perinatal (fetal and infant death) data files. Tabulated data can be graphed or mapped within VitalStats or exported to Excel for further analysis.

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This database is part of the National Medical Information System (NMIS). The Patient Treatment File (PTF) contains a record for each inpatient care episode provided under VA auspices in VA and non-VA facilities nationwide. Each episode contains data on admission, diagnosis, procedures, surgical episodes, and disposition (discharge) information and Diagnostic Related Group (DRG). Each transfer is recorded to allocate days of care properly to the service(s) responsible for that care. Recurring and special purpose reports are used for studies on patient movement trends, diagnostic frequency, workload, budget preparation, Diagnostic Related Group (DRG) assignment and accreditation requirements. Reports are available for online access via Roger's Software Development's (RSD) Online Report Viewing. Several large data files are installed on-line at the Austin Information Technology Center for remote access. Selected data can be downloaded to perform end user processing, including report generation. Information is received from a variety of modules in Veterans Health Information Systems and Technology Architecture. This batch system is written in Common Business Oriented Language and ALC. Processing is done on a daily, weekly, and monthly basis.

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This system provides annual data on U.S. imports and exports of selected fertilizer types. These data are based on U.S. Merchandise Imports and Exports, released monthly by the U.S. Department of Commerce, Foreign Trade Division. The data reported here cover imports from 1995 to 2012 and exports from 1990 to 2012 for 26 major fertilizer products and materials, and for 82 major trading countries.

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VA's Managerial Cost Accounting System is the designated Managerial Cost Accounting (MCA) System of the Department of Veterans Affairs. This system is the Department's only means of complying with Public Laws (e.g., PL 101-576 - the Chief Financial Officers Act of 1990) that mandate the use of a MCA system that can assign costs to the product level. DSS cost data is used at all levels of the VA for important functions, such as cost recovery (billing), budgeting and resource allocation. Additionally, the system contains a rich repository of clinical information which is used to promote a more proactive approach to the care of high risk (i.e., diabetes and acute coronary patients) and high cost patients. The data in MCA is also used to calculate and measure the productivity of physicians and other care providers. This VA information system used to be named the Decision Support System (DSS).

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The SWAN Public Use Datasets provide access to longitudinal data describing the physical, biological, psychological, and social changes that occur during the menopausal transition. Data collected from 3,302 SWAN participants from Baseline through the 10th Annual Follow-Up visit are currently available to the public. Registered users are able to download datasets in a variety of formats, search variables and view recent publications.

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This layer of the National Elevation Dataset (NED) is 1/3 arc-second (approximately 10 m) resolution. The1/3 arc-second NED are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The 1/3 arc-second NED layer provides seamless coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. The 1/3 arc-second NED layer is available as pre-staged products tiled in 1 degree blocks in Erdas .img, ESRI arc-grid, and grid float formats. The NED is updated continually as new data become available. All NED data are in the public domain.

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Proper position designation is the foundation of an effective and consistent suitability and personnel security program. The process determines, through the evaluation of National Security and suitability requirements, what type of investigation is required and how closely an applicant or incumbent is screened for a position. Specifically, Section 731.106(a) of Title 5, Code of Federal Regulations states, 'agency heads must designate every covered position within the agency at a high, moderate, or low risk level as determined by the position's potential for adverse impact to the efficiency or integrity of the service.' Section 731.106(c)(2) of Title 5, states, 'all positions subject to investigation under this part must also receive a sensitivity designation of special-sensitive, critical-sensitive, or noncritical-sensitive, when appropriate.' Sensitivity levels are discussed further in Part 732 of Title 5. To ensure a systematic, dependable, and uniform way of making position designations, OPM provides the Position Designation Automated Tool (PDT) for those individuals within agencies charged with position designation responsibilities. We do not collect information on uses of the tool; rather, this is the underlying criteria used by the tool. A document with more information on these criteria and the process of position designation is available to the public at http://www.opm.gov/investigations/background-investigations/position-designation-tool/oct2010.pdf.

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This data file indicates the estimated number of uninsured individuals ages 19-25 in each U.S. county. These individuals may be eligible to join their parents health plan if that plan offers dependent coverage. The data is based on the 2007 Small Area Health Insurance Estimates (SAHIE) and March 2008 Current Population Survey Annual Social and Economic Supplement (CPS-ASEC).

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This table contains key Financial data highlighted from PBGC's financial statements for the periods ending September 30, 1992 through September 30, 2009. PBGC's financial statements can be accessed http://www.pbgc.gov

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The North America Regional Reanalysis (NARR) Project is a reanalysis of historical observations using a 32-km version of the National Centers for Environmental Prediction (NCEP) 1993 operational ETA model and ETA data assimilation system (EDAS). The objective is to create a long-term set of consistent climate data on a regional scale for the North American domain. The domain of analyses includes North and Central America as well as small parts of the United Kingdom, Eastern Asia, South America, and areas of the Pacific and Atlantic Oceans. The period of the reanalyses is from October 1978 to the present and analyses were made 8 times daily (3 hour intervals). Horizontal boundary conditions are derived from the NCEP/DOE Global Reanalysis. Advantages over the widely used NCEP/NCAR Reanalysis (180 km) are its higher spatial and temporal resolutions (32 km grid, 45 vertical layers, every three hours) and better treatment of the land surface. This is achieved through the use of a better land-surface model (Noah LSM), the assimilation of more observational data (precipitation, upper air and surface winds), and through a better representation of the terrain (heights, vegetation, soil type). This data set contains "conventional" atmospheric analyses as well as model-derived fields that contain estimates of subsurface, surface, and radiative properties. This data set is encoded in WMO GRIB format version 1 using the NCEP GRIB table 131. The model used a native, "E-grid" for its calculations, however data were interpolated to a Lambert Conformal Conic projection, also known as NAM 221 AWIPS Grid - High Resolution North American Master Grid (32-km Resolution). All vector components are earth relative rather than grids relative which is the convention for operational NCEP model. The list of fields produced by the NARR ETA model differ from the operational ETA model. NARR data files that are compatible with the Grid Analysis and Display System (GrADS) are available.

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The U.S. Daily Climate Normals for 1981 to 2010 are 30-year averages of meteorological parameters for thousands of U.S. stations located across the 50 states, as well as U.S. territories, commonwealths, the Compact of Free Association nations, and one station in Canada. NOAA Climate Normals are a large suite of data products that provide users with many tools to understand typical climate conditions for thousands of locations across the United States. As many NWS stations as possible are used, including those from the NWS Cooperative Observer Program (COOP) Network as well as some additional stations that have a Weather Bureau Army-Navy (WBAN) station identification number, including stations from the Climate Reference Network (CRN). The comprehensive U.S. Climate Normals dataset includes various derived products including daily air temperature normals (including maximum and minimum temperature normal, heating and cooling degree day normal, and others), precipitation normals (including snowfall and snow depth, percentiles, frequencies and other), and hourly normals (all normal derived from hourly data including temperature, dew point, heat index, wind chill, wind, cloudiness, heating and cooling degree hours, pressure normals). Users can access the data either by product or by station. Included in the dataset is extensive documentation to describe station metadata, filename descriptions, and methodology of producing the data. All data utilized in the computation of the 1981-2010 Climate Normals were taken from the ISD Lite (a subset of derived Integrated Surface Data), the Global Historical Climatology Network-Daily dataset, and standardized monthly temperature data (COOP). These source datasets (including intermediate datasets used in the computation of products) are also archived at the NOAA NCDC.

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GAP species range data show a coarse representation of the total areal extent of a species or the geographic limits within which a species can be found (Morrison and Hall 2002). To represent these geographic limits, GAP compiled existing GAP data, where available, and NatureServe data (Patterson et al. 2003, Ridgely et al. 2007, NatureServe 2010) IUCN data (IUCN 2004), where needed. Data provided by GAP in collaboration with the Northwest Gap Analysis Project (NWGAP), the Southwest Regional Gap Analysis Project (SWReGAP), the Southeast Gap Analysis Project (SEGAP), the Alaska Gap Analysis Project (AKGAP), the Hawaii Gap Analysis Project (HIGAP), the Puerto Rico Gap Analysis Project (PRGAP), and the U.S. Virgin Islands Gap Analysis Project (USVIGAP). Web map services for species ranges can be accessed via: http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Birds http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Mammals http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Amphibians http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Reptiles A table listing all of GAP's available web map services can be found here: http://gapanalysis.usgs.gov/species/data/web-map-services/ Bird data provided by NatureServe in collaboration with Robert Ridgely, James Zook, The Nature Conservancy's Migratory Bird Program, Conservation International's Center for Applied Biodiversity Science (CABS), World Wildlife Fund US, and Environment Canada's WILDSPACE. Mammal data provided by NatureServe in collaboration with Bruce Patterson, Wes Sechrest, Marcelo Tognelli, Gerardo Ceballos, The Nature Conservancy's Migratory Bird Program, Conservation International's CABS, World Wildlife Fund US, and Environment Canada's WILDSPACE. Reptile data were provided by the International Union for Conservation of Nature and Natural Resources (IUCN). Amphibian data developed as part of the Global Amphibian Assessment and provided by IUCN-World Conservation Union, Conservation International and NatureServe. Once the needed range data were compiled it was intersected with Natural Resource Conservation Service National Watershed Boundary dataset of 12-digit hydrological units for the US (U.S. Geological Survey and U.S. Department of Agriculture, Natural Resources Conservation Service 2009). Range data were attributed with information regarding occurrence/presence, origin, reproductive use, and seasonal use from GAP regional projects (SWReGAP, SEGAP, NWGAP, AKGAP, HIGAP, PRGAP, and USVIGAP), NatureServe data, and IUCN data. GAP used the best information available to create these species ranges; however GAP seeks to improve and update these data as new information becomes available. These species range data provide the biological context within which to build our species distribution models. Recommended citation: U.S. Geological Survey Gap Analysis Program (USGS-GAP). [Year]. National Species Ranges. Available: http://gapanalysis.usgs.gov. Accessed [date].

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U.S. consumers demand variety, quality, and convenience in the foods they consume. As Americans have become wealthier and more ethnically diverse, the American food basket reflects a growing share of tropical products, spices, and imported gourmet products. Seasonal and climatic factors drive U.S. imports of popular types of fruits and vegetables and tropical products, such as cocoa and coffee. In addition, a growing share of U.S. imports can be attributed to intra-industry trade, whereby agricultural-processing industries based in the United States carry out certain processing steps offshore and import products at different levels of processing from their subsidiaries in foreign markets. This data set provides import values of edible products (food and beverages) entering U.S. ports and their origin of shipment. Data are from the U.S. Department of Commerce, U.S. Census Bureau. Food and beverage import values are compiled by calendar year into food groups corresponding to major commodities or level of processing. At least 10 years of annual data are included, enabling users to track long-term growth patterns.

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The Health Data Repository (HDR) is a VA multi-year development project to create a longitudinal record of Veterans clinical data, including a method to display 'legacy' clinical data from 128 Veterans Health Information Systems and Technology Architecture (VistA) systems. Data displayed will be in 'real-time' and will come from the Health Data Repository for re-engineered applications and VistA for all other clinical applications. The long-term goal of the HDR project is to be a national transactional database that stores all clinical data from re-engineered applications and a number of regional databases that will provide access to VistA data.

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Total public debt to the penny reported daily

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Science and Engineering Indicators (SEI) comprises quantitative data on the U.S. and international science and engineering enterprise. The "indicators" are quantitative representations that provide summary information on the scope, quality, and vitality of science and engineering. SEI employs a variety of presentation styles including tables, figures, narrative text, bulleted text, Web-based links, highlights, introductions, conclusions, reference list to make the data accessible to readers with different information needs and information-processing preferences. SEI's 8 chapters cover the following subjects: 1) Elementary and Secondary Mathematics and Science Education 2) Higher Education in Science and Engineering 3) Science and Engineering Labor Force 4) Research and Development: National Trends and International Comparisons 5) Academic Research and Development 6) Industry, Technology, and the Global Marketplace 7) Science and Technology: Public Attitudes and Understanding 8) State Indicators. SEI is prepared by the National Science Foundation's National Center for Science and Engineering Statistics (NCSES) under the guidance of the National Science Board (Board). It is subject to extensive review by outside experts, interested federal agencies, Board members, and NSF internal reviewers for accuracy, coverage, and balance.

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This Recalls API allows you to tap into a list of (1) drug and food safety recalls from the Food and Drug Administration, Food Safety and Inspection Service, and FoodSafety.gov; (2) car safety recalls from the National Highway Traffic Safety Administration; and (3) product safety recalls from the Consumer Product Safety Commission.

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This dataset consists of Level III weather radar products collected from Next-Generation Radar (NEXRAD) stations located in the contiguous United States, Alaska, Hawaii, U.S. territories and at military base sites. NEXRAD is a network of 160 high-resolution Doppler weather radars operated by the NOAA National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force (USAF). Doppler radars detect atmospheric precipitation and winds, which allow scientists to track and anticipate weather events, such as rain, ice pellets, snow, hail, and tornadoes, as well as some non-weather objects like birds and insects. NEXRAD stations use the Weather Surveillance Radar - 1988, Doppler (WSR-88D) system. This is a 10 cm wavelength (S-Band) radar that operates at a frequency between 2,700 and 3,000 MHz. The radar system operates in two basic modes: a slow-scanning Clear Air Mode (Mode B) for analyzing air movements when there is little or no precipitation activity in the area, and a Precipitation Mode (Mode A) with a faster scan for tracking active weather. The two modes employ nine Volume Coverage Patterns (VCPs) to adequately sample the atmosphere based on weather conditions. A VCP is a series of 360 degree sweeps of the antenna at pre-determined elevation angles and pulse repetition frequencies completed in a specified period of time. The radar scan times 4.5, 5, 6 or 10 minutes depending on the selected VCP. During 2008, the WSR-88D radars were upgraded to produce increased spatial resolution data, called Super Resolution. The earlier Legacy Resolution data provides radar reflectivity at 1.0 degree azimuthal by 1 km range gate resolution to a range of 460 km, and Doppler velocity and spectrum width at 1.0 degree azimuthal by 250 m range gate resolution to a range of 230 km. The upgraded Super Resolution data provides radar reflectivity at 0.5 degree azimuthal by 250 m range gate resolution to a range of 460 km, and Doppler velocity and spectrum width at 0.5 degree azimuthal by 250 m range gate resolution to a range of 300 km. Super resolution makes a compromise of slightly decreased noise reduction for a large gain in resolution. In 2010, the deployment of the Dual Polarization (Dual Pol) capability to NEXRAD sites began with the first operational Dual Pol radar in May 2011. Dual Pol radar capability adds vertical polarization to the previous horizontal radar waves, in order to more accurately discern the return signal. This allows the radar to better distinguish between types of precipitation (e.g., rain, hail and snow), improves rainfall estimates, improves data retrieval in mountainous terrain, and aids in removal of non-weather artifacts. The NEXRAD products are divided in two data processing levels. The lower Level II data are base products at original resolution. Level II data are recorded at all NWS and most USAF and FAA WSR-88D sites. From the Level II quantities, computer processing generates numerous meteorological analysis Level III products. The Level III data consists of reduced resolution, low-bandwidth, base products as well as many derived, post-processed products. Level III products are recorded at most U.S. sites, though non-US sites do not have Level III products. There are over 40 Level III products available from the NCDC. General products for Level III include the base and composite reflectivity, storm relative velocity, vertical integrated liquid, echo tops and VAD wind profile. Precipitation products for Level III include estimated ground accumulated rainfall amounts for one and three hour periods, storm totals, and digital arrays. Estimates are based on reflectivity to rainfall rate (Z-R) relationships. Overlay products for Level III are alphanumeric data that give detailed information on certain parameters for an identified storm cell. These include storm structure, hail index, mesocyclone identification, tornadic vortex signature, and storm tracking information. Radar messages for Level III are sent by the radar site to users in order to know more about the radar status and special product data. NEXRAD data are provided to the NOAA National Climatic Data Center for archiving and dissemination to users. Data coverage varies by station and ranges from May 1992 to 1 day from present. Most stations began observing in the mid-1990s, and most period of records are continuous.

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This map layer is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature. Divisions represent the climates within domains and are differentiated based on precipitation levels and patterns as well as temperature. Divisions are subdivided into provinces, which are differentiated based on vegetation or other natural land covers. The finest level of detail is described by subregions, called sections, which are subdivisions of provinces based on terrain features. Also identified are mountainous areas that exhibit different ecological zones based on elevation.

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Certain government programs, such as SBA loan programs and contracting opportunities, are reserved for small business concerns. In order to qualify, businesses must satisfy SBA's definition of a small business concern, along with the size standards for small business

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This is a polygon coverage of Physiographic Divisions in the conterminous United States. It was automated from Fenneman's 1:7,000,000-scale map, "Physical Divisions of the United States," which is based on eight major 1946 divisions, 25 provinces, and 86 sections representing distinctive areas having common topography, rock types and structure, and geologic and geomorphic history.

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The geology data set for this map includes arcs, polygons, and labels that outline and describe the general geologic age and type of bedrock of Iran. The geologic provinces data set includes arcs, polygons, and labels of geologic and petroleum provinces interpreted and designated by R.M. Pollastro from a number of literature and map resources to assist in the assessment of oil and gas resources for the USGS World Energy Project. The oil and gas field centerpoints data set is a point coverage that marks the approximate centerpoints of oil and gas fields in Iran. Political boundaries are provided to show the general location of country and/or other reference 'political' boundaries.

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A system of records is a file, database, or program from which personal information is retrieved by name or other personal identifier. The Privacy Act provides a number of protections for your personal information. These typically include how information is collected, used, disclosed, stored, and disposed. As part of our privacy policy, VA conducts an annual review of our Privacy Act system of record notices to make sure that they are current and republishes those that require changes or updates. Please select the link to download the excel spreadsheet via the link labeled: 'Privacy Act System of Record'. The spreadsheet contains the following fields: SOR #, PUB DATE, CITATION, HYPERLINK TO FEDERAL REGISTER, SYSTEM TITLE, and POC.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).